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Ray traces in a distributed-index planar microlens.

K Iga1, M Oikawa, J Banno

  • 1Tokyo Institute of Technology, 4259 Nagatsuta, Midori-ku, Yokohama 227, Japan.

Applied Optics
|April 17, 2010
PubMed
Summary
This summary is machine-generated.

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This study presents a ray-optical method for analyzing planar microlenses with complex refractive index profiles. The developed technique enables accurate estimation of optical properties like focal length and spherical aberration.

Area of Science:

  • Optics and Photonics
  • Micro-optics
  • Ray Optics

Background:

  • Planar microlenses are crucial optical components.
  • Accurate modeling of refractive index distributions is essential for predicting microlens performance.
  • Existing methods may not fully capture the complexities of 3-D distributed refractive indices.

Purpose of the Study:

  • To develop a ray-optical treatment for planar microlenses with 3-D distributed refractive indices.
  • To derive an analytic form of the ray trace for specific index profiles.
  • To estimate key optical properties of planar microlenses.

Main Methods:

  • Derivation of an integral form of the ray equation.
  • Expressing the refractive index distribution as a sum of functions of radial (r) and axial (z) distances.

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  • Solving the integral equation independently for r and z.
  • Applying the derived ray trace to planar microlenses with approximated index profiles.
  • Main Results:

    • An analytic form of the ray trace was obtained for specific refractive index distributions.
    • The method allows for the estimation of optical properties.
    • Key optical parameters such as focal length, numerical aperture, and spherical aberration were estimated.

    Conclusions:

    • The presented ray-optical treatment provides an effective method for analyzing planar microlenses with 3-D refractive index distributions.
    • The analytic solutions simplify the prediction of microlens performance.
    • This approach is applicable to fabricated devices with index profiles that can be approximated by the assumed model.